Nikorasu / PyNBoidsLinks
This is a Boids Simulation, written in Python with Pygame.
☆60Updated 3 years ago
Alternatives and similar repositories for PyNBoids
Users that are interested in PyNBoids are comparing it to the libraries listed below
Sorting:
- A 2D Particle Survival Environment for Deep Reinforcement Learning☆25Updated 5 years ago
- A collection of Gymnasium compatible games for reinforcement learning.☆89Updated 6 months ago
- Simple converter for deploying Stable-Baselines3 model to TFLite and/or Coral☆28Updated 4 years ago
- A.I. learns how to drive with reinforcement learning☆22Updated 5 years ago
- SpaceX Falcon 9 simulated with Reinforcement Learning algorithms such as D4PG,SAC and PPO.☆65Updated 5 years ago
- ☆92Updated 5 years ago
- 📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️☆59Updated last year
- A Survey Analyzing Generalization in Deep Reinforcement Learning☆35Updated last year
- ☆77Updated 3 years ago
- Neural Network learns to land a rocket using Pytorch, Unity's MLAgents and PPO.☆35Updated 6 years ago
- Produce intelligence by means of natural selection without objective/reward optimization☆15Updated 4 years ago
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆58Updated 2 years ago
- This repository provides a brief introduction to PID control by using Python examples in Jupyter notebooks.☆23Updated last year
- An OpenAI Gym environment for the Flappy Bird game☆131Updated 3 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆102Updated 7 months ago
- OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.☆56Updated 2 months ago
- Cellular Automata Environments for Reinforcement Learning☆46Updated 10 months ago
- 🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄☆142Updated 7 months ago
- Hands-On Reinforcement Learning for Games, published by Packt☆60Updated 3 weeks ago
- Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space…☆72Updated last year
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆29Updated 7 months ago
- Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.☆96Updated 5 years ago
- Reinforcement learning algorithms for Algorithm, policy exploration in Air Learning☆50Updated 6 years ago
- ☆48Updated 6 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆86Updated 3 months ago
- Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.☆106Updated 3 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 6 years ago
- Ship simulafor in openai gym style☆40Updated 7 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆70Updated 7 months ago
- Code used to train an augmented auto-encoder (aka denoising auto-encoder with more augmentations) for the DonkeyCar simulator.☆47Updated 3 years ago